TL;DR
Parasoft enhances their C/C++ testing tools with complete MISRA C:2025 support, integrating advanced AI-driven capabilities to improve productivity, efficiency, and security for software developers and AI testers.
Parasoft, a leading developer of software testing solutions, recently unveiled new enhancements to its testing tools suite designed specifically for the C/C++ development community. These improvements focus heavily on full support for the newly revised MISRA C:2025 coding standard, AI-powered productivity features, and elevated security coverage. This announcement marks a significant step forward for software engineers who develop safety-critical systems, embedded applications, and AI-backed products requiring rigorous compliance. Enhanced AI-Powered Software Testing Capabilities
Critical for software developers specializing in AI testing, these enhancements utilize artificial intelligence to streamline workflow, improve defect detection accuracy, and shorten testing cycles. Leveraging generative AI techniques, the updated Parasoft tools analyze vast codebases more effectively, identifying risky code patterns or deviations from best practices defined by MISRA rules.
This not only reduces manual workload, but significantly increases reliability—a critical benefit for projects demanding high safety and low risk. Integrating MISRA C:2025 for Safety and Compliance
MISRA C rules are recognized worldwide as integral standards ensuring code correctness, clarity, and security in embedded systems and other safety-critical applications. Parasoft’s upgraded tooling now fully aligns with the recently released MISRA C:2025 guidelines, delivering automated detection, reporting, and remediation capabilities critical for developers and AI testing teams. Such extensive compliance helps ensure software safety and dramatically simplifies regulatory audits in industries like automotive, aerospace, medical, and industrial controls. Driving Productivity and Security through AI Integration
Parasoft’s integrated AI-driven technology expands security coverage and boosts productivity by efficiently detecting complex vulnerabilities that traditional static analysis might miss.
It provides predictive capabilities to anticipate security breaches before they manifest—essential for proactively managing software quality in AI-driven applications. With potential threats becoming significantly more complex, these enhancements equip developers with powerful tools to anticipate and mitigate risks early in the development lifecycle. Parasoft’s latest enhancements represent meaningful progress towards addressing the challenges developers face in producing compliant, reliable, and secure software. As AI continues transforming software testing methodologies, these upgraded toolsets offer developers a robust, forward-looking solution to improve code quality, ensure compliance, and efficiently harness AI’s powerful capabilities.
Original resource for this article: https://www.tmcnet.com/usubmit/2025/06/17/10210821.htm
